Lauren T. Toth Hai Cheng R. Lawrence Edwards Erica Ashe Julie N. Richey 20210830 Tabular digital data Lauren T. Toth Hai Cheng R. Lawrence Edwards Erica Ashe Julie N. Richey 20170907 U.S. Geological Survey data release doi:10.5066/F7P8492Q St. Petersburg, Florida U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center https://doi.org/10.5066/F7P8492Q 68 Holocene-aged corals from reef cores collected throughout the Florida Keys reef tract (FKRT) were dated using a combination of U-series and radiocarbon techniques to quantify the millennial-scale variability in the local radiocarbon reservoir age (ΔR) of the shallow water environments of south Florida. ΔR provides a measure of the deviation of local radiocarbon concentrations of marine environments from the global average and can be used as a tracer of oceanic circulation and local hydrology. U.S. Geological Survey (USGS) scientists combined coral-based estimates of ΔR, using statistical modeling, to reconstruct millennial-scale variability in ΔR at locations on the FKRT with (“nearshore”) and without (“open ocean”) terrestrial influence. USGS scientists also used the models to provide temporally-explicit estimates of ΔR that can be used in radiocarbon calibrations of marine samples from the region. In Version 1.0 of the USGS data release (Toth and others, 2017) associated with this metadata record, derivedthe coral-based estimates of ΔR were derived using data from the Marine13 radiocarbon calibration curve (Reimer and others, 2013). In version 2.0, the ΔR estimates were instead derived using the Marine20 radiocarbon calibration curve (Heaton and others, 2020). For further information regarding data collection and analysis methods refer to Toth and others (2017). Radiocarbon and U-series analyses were conducted to quantify the Holocene variability of the local marine radiocarbon reservoir age, ΔR, in south Florida. The reconstructions of ΔR variability from nearshore and open-ocean environments were used to make inferences about millennial-scale changes in oceanography and hydrology and to develop more accurate radiocarbon calibrations for marine samples collected from the region. 19910101 20210615 Date range of U-series and radiocarbon analysis and modeling Complete Not planned -82.92 -80.0967 25.5906 24.45 USGS Metadata Identifier USGS:28e67e9e-cbdf-4e7d-b41d-949a247bfb6a USGS Thesaurus paleoceanography ocean circulation reef ecosystems coelenterates radiometric dating statistical analysis geochemistry marine geology environmental proxies ISO 19115 Topic Category geoscientificInformation oceans Geographic Names Information System Florida Keys USGS Thesaurus Holocene None Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originator of these data in future products or derivative research. Lauren T. Toth USGS mailing and physical

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St. Petersburg FL 33701 USA 727-502-8029 ltoth@usgs.gov Previously collected cores sampled from the USGS Core Archive (https://doi.org/10.5066/F7319TR3) were collected under permits from Dry Tortugas National Park (formerly Fort Jefferson National Monument), Biscayne National Park (formerly Biscayne National Monument), the Florida Keys National Marine Sanctuary (FKNMS), and the Florida State Department of Natural Resources. New cores from the Middle and Upper Keys were collected under permit number FKNMS-2013-097-A1 and FKNMS-2015-058, respectively by Lauren Toth. John "Jack" McGeehin of the USGS Radiocarbon Dating Laboratory provided support for the radiocarbon analysis for this study. This study was supported by a Mendenhall Research Fellowship awarded to Lauren Toth by the United States Geological Survey (USGS) Coastal and Marine Geology Program and the Natural Hazards Mission Area, and by the Climate and Land Use Research and Development Program of the USGS. Erica Ashe's work developing the statistical model was supported by the National Science Foundation (grants ARC-1203415 and OCE-1458904), National Oceanic and Atmospheric Administration grant NA11OAR431010, and the New Jersey Sea Grant Consortium. Toth, L.T., Stathakopoulos, A., and Kuffner, I.B. 20160721 U.S. Geological Survey Open-File Report 2016-1074 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20161074 Reich, C., Streubert, M., Dwyer, B., Godbout, M., Muslic, A., and Umberger, D. 20120104 U.S. Geological Survey Data Series 626 Reston, VA U.S. Geological Survey https://pubs.usgs.gov/ds/626/ Toth, L.T., Cheng, H., Edwards, R.L., Ashe, E., and Richey, J.N. 2017 Quaternary Geochronology Volume 42 Amsterdam, Netherlands Elsevier https://doi.org/10.1016/j.quageo.2017.07.005 Cheng H., Edwards, R.L., Shen, C.-C., Polyak, V.J., Asmerom, Y., Woodhead, J., Hellstrom, J., Wang, Y., Kong, X., Spötl, C., Wang, X., and Alexander, E.C. 20130523 Earth and Planetary Science Letters Volumes 371–372 Amsterdam, Netherlands Elsevier https://doi.org/10.1016/j.epsl.2013.04.006 Lidz, B.H., Reich, C.D., and Shinn, E.A. 20030701 GSA Bulletin Volume 115 Boulder, CO Geological Society of America Bulletin https://doi.org/10.1130/0016-7606(2003)115<0845:RQSGIT>2.0.CO;2http://sofia.usgs.gov/publications/papers/geomorph_keys/BLidz-GSA-Bull-article.pdf All values in tables were cross-checked for accuracy against original versions of the tables and model/instrument outputs. The data were screened by the authors for accuracy and all data falls within acceptable/logical ranges. Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. No formal positional accuracy tests were conducted. No formal positional accuracy tests were conducted. Reimer, P.J., Bard, E., Bayliss, A., Beck, J.W., Blackwell, P.J., Ramsey, C.B., Buck, C.E., Cheng, H., Edwards, R.L., Friedrich, M., Grootes, P.M., Guilderson, T.P., Haflidason, H., Hajdas, I., Hatté, C., Heaton, T.J., Hoffmann, D.L., Hogg, A.G., Hughen, K.A., Kaiser, K.F., Kromer, B., Manning, S.W., Niu, M., Reimer, R.W., Richards, D.A., Scott, E.A., Southon, J.R., Staff, R.A., Turney, C.S.M., and van der Plicht, J. 2013 Tabular digital data Tucson, Arizona Radiocarbon, University of Arizona https://doi.org/10.2458/azu_js_rc.55.16947 Radiocarbon calibration curve 20131201 20131231 20131231 Marine13 Used to determine the predicted radiocarbon age of samples using their corrected 230Th as calibrated calendar years before present, where present is 1950 (Cal BP). Heaton, T.J., Köhler, P., Butzin, M., Bard, E., Reimer, R.W., Austin, W.E.N., Ramsey, C.B., Grootes, P.M., Hughen, K.A., Kromer, B., Reimer, P.J., Adkins, J., Burke, A., Cook, M.S., Olsen, J., and Skinner, L.C. 2020 Tabular digital data Tucson, Arizona Radiocarbon, University of Arizona http://intcal.org/curves/marine20.14c https://doi.org/10.1017/RDC.2020.68 Radiocarbon calibration curve 20201201 20201231 20201231 Marine20 Used to determine the predicted radiocarbon age of samples using their corrected 230Th as calibrated calendar years before present, where present is 1950 (Cal BP). Sample collection: Coral samples were extracted from coral-reef cores previously collected by USGS researchers and housed in the USGS core archive of the St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC; Reich and others, 2012; https://doi.org/10.5066/F7319TR3), one new core collected from Crocker Reef in the Upper Florida Keys, in 2014, and four new cores collected from Sombrero and Tennessee reefs in the Middle Florida Keys, in 2015, as part of the USGS Coral Reef Ecosystems Studies project (https://www.usgs.gov/centers/spcmsc/science/coral-reef-ecosystem-studies-crest?qt-science_center_objects=0#qt-science_center_objects; Toth and others, 2016). Those cores were collected under Florida Keys National Marine Sanctuary (FKNMS) permit numbers FKNMS-2013-097-A1 and FKNMS-2015-058. Data were collected under USGS field activity numbers (FANs) 2014-321-FA, 2015-314-FA, and 2015-325-FA. Additional survey details are available at, https://cmgds.marine.usgs.gov/data_search.php. The geographic locations of those cores were determined using a Garmin GPS and an Ashtec Z-Xtreme DGPS was also used in 2014. The geographic data for the 2014 and 2015 cores were recorded in the North American Datum of 1983 (NAD83). Details listed under the spatial reference information section only apply to the cores collected in 2014–2016. Coral samples were cut from the cores using a tile saw located at the USGS-SPCMSC, which is dedicated to that purpose. The samples were split into two, 1–3-gram subsamples using the tile saw. The subsamples were then sonicated for 15 minutes in a bath of warm, deionized water and dried at 60 degrees Celsius. One subsample of each coral was sent to the USGS Radiocarbon Laboratory (Reston, VA) for radiocarbon analysis and one subsample of each coral was sent to the University of Minnesota, Minneapolis, MN, USA or Xi’an Jiaotong University, Xi'an, China for U-series analysis. 20151021 Dating: All but two coral subsamples were processed at the USGS Radiocarbon Laboratory in Reston, VA and were radiocarbon dated using accelerator mass spectrometry (AMS) at the Center for AMS, which is located on the UC Berkley campus within the Lawrence Livermore National Laboratory using standard techniques. The δ13C of those samples was either measured by the University of California, Davis Stable Isotope Laboratory or, if not measured, were assumed to be 0±3‰. Measured 14C ages were corrected for fractionation of 13C using the d13ccorr spreadsheet available at http://calib.org/calib/instruct.html. The other two samples were dated previously (Lidz and others, 2003; C. Reich, unpublished data) using bulk, radiometric radiocarbon dating at Beta Analytic, Inc. or Geochron Laboratories. U-series ages were determined by H. Cheng and R.L. Edwards at the University of Minnesota and Xi’an Jiaotong University using multi-collector inductively coupled plasma mass spectrometry according to the procedures described in Cheng and others (2013). Measured 230Th ages were corrected using an initial 230Th/232Th atomic ratio of 4.4 x 10^-6 with an uncertainty of 50% (±2.2 standard error). Those are the values for a material at secular equilibrium, with the bulk Earth 232Th/238U value of 3.8. 20151207 ΔR was calculated as: ΔR = 14C (conventional) – 14C (expected from Marine13 in the original dataset or Marine 20 in the updated dataset) where 14C (conventional) is the conventional radiocarbon age of the sample and 14C (expected from Marine13 or Marine 20) is the predicted 14C age from the marine calibration curve using the corrected 230Th age before present as Cal BP. The error terms for ΔR were calculated by combining the two standard error uncertainties associated with the conventional 14C age (SE1) and expected 14C age from the appropriate calibration curve (SE2): SDcombined = square root (SE1^2 + SD2^2) 20151207 Statistical modeling: Researchers combined the coral-based snapshots of ΔR using an empirical hierarchical model with Gaussian process priors to 1) reconstruct temporal variability in ΔR during the Holocene (ΔR versus 230Th ages) and 2) predict values of ΔR and ΔR uncertainty for use in calibrations of radiocarbon ages from the region (ΔR versus conventional 14C ages) for both the open-ocean and nearshore sites. The model outputs are found in the files: Modeled_OpenOcean_DeltaR_vs_230Th, Modeled_Nearshore_DeltaR_vs_230Th, Modeled_OpenOcean_DeltaR_vs_Conventional_14C, and Modeled_Nearshore_DeltaR_vs_Conventional_14C. Data that were not included in the model are indicated in the "Data included in statistical models? (Y/N)" attribute in FKRT_Coral_Based_DeltaR and DeltaR_Data_Screening_Summary, for the reasons described in DeltaR_Data_Screening_Summary. All statistical analyses were conducted in MATLAB ® version R2019a Update 6 (9.6.0.1214997). Researchers used a Gaussian process prior distribution with prior mean equal to the average ΔR for each model through time. This prior distribution consists of 1) a time-dependent non-linear term defined with a Matérn correlation function with a smoothness parameter 3/2 and 2) a white noise term to capture high-frequency variability in ΔR that is not captured by the non-linear term. The hyperparameters of the model include the amplitude (or prior standard deviation), the characteristic time scale of variability, and the prior standard deviation of the white noise. These parameters are optimized through maximum-likelihood estimation based on the coral-based estimates of ΔR and the 230Th ages of those samples. For the previous, Marine13 model, these parameters are as follows: -Open ocean: Non-linear standard deviation=38, Temporal scale=850, White noise standard deviation=1 -Nearshore: Non-linear standard deviation=38, Temporal scale=850, White noise standard deviation=20 For the updated, Marine20 model, these parameters are as follows: -Open ocean: Non-linear standard deviation=64.1, Temporal scale=1264.4, White noise standard deviation=0.9 -Nearshore: Non-linear standard deviation=28.1, Temporal scale=254.2, White noise standard deviation=32.5 For more information on the criteria for excluding data and details of the statistical model see Toth and others (2017). 20160516 Data Screening: All corals included in this study were carefully examined prior to dating and were generally found to be in excellent condition. Sixteen of the samples included in this study were also previously screened for diagenesis by X-ray diffraction (XRD) using a Bruker D4 X-ray diffractometer. These analyses indicated that all samples contained <5% calcite and, in most cases, the samples were nearly 100% aragonite. Researchers screened an additional subsample (N=14) of corals using the S-3500N Hitachi scanning electron microscope (SEM) housed at the University of South Florida’s College of Marine Science. Researchers evaluated the corals for evidence of: secondary calcite precipitation, secondary aragonite needles, and/or dissolution. SEM imaging of the samples generally showed only the localized presence of secondary aragonite and suggested that diagenetic alteration was negligible overall; however, researchers did find evidence of significant diagenesis in three samples: LK-MG-2-0, MK-AR-2-0, and BP-FR-2-55. Researchers also screened the U-series data based on three criteria: 1) δ234U within 10 per mil of modern seawater (147 per mil), 2) 232Th less than 2 parts per billion (ppb), and 3) 238U within taxon-specific ranges for modern or Holocene corals (~2800–3800 ppb for Acropora spp. and ~2000–3200 for the massive coral taxa Orbicella spp., Diploria spp., Montastraea cavernosa, and Colpophyllia natans). Samples that did not meet the U-series or diagenetic criteria were excluded from statistical analysis. Descriptions of the screening procedures and reasons for exclusion are provided in: DeltaR_Data_Screening_Summary.zip 20170221 0.0198058733 0.0217155309 Decimal degrees D_North_American_1983 GRS_1980 6378137.0 298.25722101 FKRT_Coral_Based_DeltaR_Marine20 ΔR estimates for the 68 corals from the FKRT, description of those coral samples, sample locations, and summary of data used to calculate ΔR. Sample information and DeltaR values: Lauren T. Toth (USGS-SPCMSC); U-series data: Hai Cheng (Xi’an Jiaotong University, China), R. Lawrence Edwards (University of Minnesota); Radiocarbon data: John McGeehin (USGS Radiocarbon Laboratory), Lawrence Livermore National Laboratories Center for Accelerator Mass Spectrometry, University of California, Davis Stable Isotope Laboratory, Beta Analytic, Inc., and Geochron Laboratories; Marine20 data: http://intcal.org/curves/marine20.14c. Sample ID Unique identifier for each coral sample dated in this study. USGS Sample IDs are generated by abbreviating information about the region, site, core, and approximate water depth from which each sample was collected and are formatted as: Region abbreviation-Site abbreviation-Core number-Depth of coral in core. Latitude The approximate latitude, in NAD83 coordinates, where the core containing the coral sample was collected. USGS 24.4500 25.5906 Decimal degrees Longitude The approximate longitude, in NAD83 coordinates, where the core containing the coral sample was collected. USGS -82.92 -80.0967 Decimal degrees Site Site name where the core containing the coral sample was collected. USGS The name of the reef or group of reefs where the core containing the sample was collected. Subregion The subregion of the Florida Keys reef tract where the core containing the sample was collected. USGS Dry Tortugas N.P. The westernmost subregion of the Florida Keys reef tract located within the boundaries of Dry Tortugas National Park. National Park Service Marquesas The subregion of the Florida Keys reef tract located between Dry Tortugas National Park and the Lower Keys. USGS Lower Keys The subregion of the Florida Keys reef tract located between the Marquesas and the Middle Keys. USGS Middle Keys The subregion of the Florida Keys reef tract located between the Lower Keys and the Upper Keys. USGS Upper Keys The subregion of the of the Florida Keys reef tract located between the Middle Keys and the Biscayne National Park. USGS Biscayne N.P. The northernmost subregion of the Florida Keys reef tract located within the boundaries of Biscayne National Park. National Park Service Coral genus The genus of the coral sample. World Register of Marine Species: http://www.marinespecies.org/ Orbicella The coral genus containing the species O. faveolata, O. franksii, and O. annularis. World Register of Marine Species: http://www.marinespecies.org/ Acropora The coral genus containing the species A. palmata and A. cervicornis. World Register of Marine Species: http://www.marinespecies.org/ Diploria The coral genus containing the species D. strigosa, D. clivosa, and D. labyrinthiformis. World Register of Marine Species: http://www.marinespecies.org/ Montastraea The coral genus containing the species M. cavernosa. World Register of Marine Species: http://www.marinespecies.org/ Colpophyllia The coral genus containing the species C. natans. World Register of Marine Species: http://www.marinespecies.org/ 230Th Age (years BP) Holocene 230Th (U-series) age of the coral sample used as age of the sample before present (where present is 1950) when calculating the local reservoir age, ΔR. The age has been corrected based on the assumption that the initial 230Th/232Th atomic ratio is 4.4 ± 2.2 x10-6: the value for a material at secular equilibrium, with the bulk earth 232Th/238U value of 3.8. USGS 41 10242 Years before present (where present is 1950) 230Th age error (2 SE) The 2-standard error (2 SE) analytical uncertainty of the 230Th age. USGS 6 55 years Conventional 14C age (years) The 14C age of the sample corrected for the fractionation of 13C, but not calibrated against the Marine13 calibration curve. USGS 380 9485 years 14C age error (1 SE) The 1-standard error (1 SE) analytical uncertainty of the conventional radiocarbon (14C) age. USGS 20 70 years Marine20 14C age (years) The predicted 14C age of the sample from the marine calibration curve (Marine20; Heaton and others 2020; http://intcal.org/curves/marine20.14c), using the corrected 230Th age as age before present (cal BP) of the sample. USGS 608 9573 years Marine20 14C age error (1 SE) The 1-standard error (1 SE) uncertainty associated with the modeled 14C ages of the Marine20 calibration curve. USGS 56 70 years Delta-R (years) ΔR (Delta-R) values (in years) calculated by subtracting the predicted radiocarbon age of the sample from the marine calibration curve (Marine20 14C age), from the conventional radiocarbon age of that sample (Conventional 14C age). USGS -806 207 years Delta-R error (1 SE) The 1-standard error (1 SE) uncertainty associated with the estimates of ΔR (Delta-R). Calculated as the root-mean-square of the error associated with the conventional 14C age of the sample (14C age error) and the error associated with the predicted 14C age from the marine calibration curve (Marine20 14C age error). USGS 61 92 years Data included in statistical models? (Y/N) An identifier to indicate whether the data were included in the subset used in the statistical models of ΔR variability. USGS Y Y=yes the data were included in the statistical models. USGS N N=no the data were not included in the statistical models for the reasons outlined in Toth and others (2017). USGS Model name Identifies which model of Delta-R the data were included in: nearshore or open ocean. This attribute is coded as "None" if data were not included in statistical models. USGS Nearshore Indicates that the data point was included in the nearshore model of Delta-R. USGS Open Ocean Indicates that the data point was included in the open-ocean model of Delta-R. USGS None Indicates that the data point was not included in any statistical model. USGS Modeled_OpenOcean_DeltaR_vs_230Th_Marine20 Statistical model output of open-ocean ΔR variability from 8,000 years BP to present with a 5-year time step using 230Th age to derive age before present. All statistical analyses were conducted using MATLAB ® software (v. 9.1). Sample information and DeltaR values: Lauren T. Toth (USGS-SPCMSC); Statistical model: Erica Ashe (Rutgers University). 230Th Age (years BP) Age before present (modeled from corrected 230Th age before present) from 8000-0 years before present (where present is 1950 C.E.) with a time step of 5 years. USGS 0 8000 years before present (where present is 1950 C.E.) Delta-R (14C years) Predicted (modeled) ΔR (Delta-R) values (in radiocarbon [14C] years) for every 5 years before present over the range of 8000-0 years before present. USGS -321.94787 -117.024319 14C years Delta-R error (1 SE) The 1-standard error (1 SE) uncertainty associated with predicted (modeled) ΔR (Delta-R) values (in years) for every 5 years before present over the range of 0-8000 years before present. USGS 16.902595 31.34312 14C years Modeled_OpenOcean_DeltaR_vs_Conventional_14C_Marine20 Modeled predictions of ΔR for open-ocean locations in south Florida over the range of conventional radiocarbon ages from 7,500 years ago to present with a 5-year time step. All statistical analyses were conducted using MATLAB ® software (v. 9.1). Sample information and DeltaR values: Lauren T. Toth (USGS-SPCMSC); Statistical model: Erica Ashe (Rutgers University). Conventional 14C age (years) Conventional 14C age (years) from 7500-0 years before present (where present is 1950 C.E.) with a time step of 5 years. USGS 0 7500 conventional radiocarbon years Delta-R (14C years) Predicted (modeled) ΔR (Delta-R) values (in 14C [radiocarbon] years) for every 5 years conventional radiocarbon years over the range of 0-7500. USGS -324.974494 -119.499169 14C years Delta-R error (1 SE) The 1-standard error (1 SE) uncertainty associated with predicted (modeled) ΔR (Delta-R) values (in years) for every 5 years before present over the range of 0-7500 years before present. USGS 15.840816 41.750293 14C years Modeled_Nearshore_DeltaR_vs_Conventional_14C_Marine20 Modeled predictions of ΔR for nearshore locations in south Florida over the range of conventional radiocarbon ages from 9,000 years ago to present with a 5-year time step. All statistical analyses were conducted using MATLAB ® software (v. 9.1). Sample information and DeltaR values: Lauren T. Toth (USGS-SPCMSC); Statistical model: Erica Ashe (Rutgers University). Conventional 14C age (years) Conventional 14C age (years) from 9000-0 years before present (where present is 1950 C.E.) with a time step of 5 years. USGS 0 9000 14C years Delta-R (14C years) Predicted (modeled) ΔR (Delta-R) values (in 14C [radiocarbon] years) for every 5 years conventional radiocarbon years over the range of 0-9000. USGS -208.627384 -149.872078 14C years Delta-R error (1 SE) The 1-standard error (1 SE) uncertainty associated with predicted (modeled) ΔR (Delta-R) values (in years) for every 5 years before present over the range of 0-9000 years before present. USGS 17.663302 28.07515 14C years Modeled_Nearshore_DeltaR_vs_230Th_Marine20 Statistical model output of nearshore ΔR variability from 9,500 years ago to present with a 5-year time step using 230Th age to derive age before present. All statistical analyses were conducted using MATLAB ® software (v. 9.1). Sample information and DeltaR values: Lauren T. Toth (USGS-SPCMSC); Statistical model: Erica Ashe (Rutgers University). 230Th Age (years BP) Age before present (modeled from corrected 230Th age before present) from 9500-0 years before present (where present is 1950 C.E.) with a time step of 5 years. USGS 0 9500 years BP Delta-R (14C years) Predicted (modeled) ΔR (Delta-R) values (in radiocarbon [14C] years) for every 5 years over the range of 9500-0 years. USGS -208.315041 -151.144098 14C years Delta-R error (1 SE) The 1-standard error (1 SE) uncertainty associated with predicted (modeled) ΔR (Delta-R) values (in years) for every 5 years over the range of 0-9500 years. USGS 18.824325 28.099306 14C years Lauren T. Toth USGS mailing and physical

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St. Petersburg FL 33701 USA 727-502-8029 ltoth@usgs.gov Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Microsoft Excel format; Comma-delimited text file ZIP File Format https://coastal.er.usgs.gov/data-release/doi-F7P8492Q/data/FKRT_Coral_Based_DeltaR_Marine20.zip https://coastal.er.usgs.gov/data-release/doi-F7P8492Q/data/Modeled_Nearshore_DeltaR_vs_230Th_Marine20.zip https://coastal.er.usgs.gov/data-release/doi-F7P8492Q/data/Modeled_Nearshore_DeltaR_vs_Conventional_14C_Marine20.zip https://coastal.er.usgs.gov/data-release/doi-F7P8492Q/data/Modeled_OpenOcean_DeltaR_vs_230Th_Marine20.zip https://coastal.er.usgs.gov/data-release/doi-F7P8492Q/data/Modeled_OpenOcean_DeltaR_vs_Conventional_14C_Marine20.zip None 20210830 Lauren T. Toth USGS Research Physical Scientist mailing and physical

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St. Petersburg FL 33701 USA 727-502-8029 ltoth@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998